Materials Science Expert - Remote
•Today
| Verified Pay check_circle | Provided by the employer$80 - $130 per hour |
|---|---|
| Hours | Full-time |
| Location | San Jose, CA San Jose, California open_in_new |
About this job
Job Description
Job Description
Materials Science Expert
Role Type: Contractor
Location: Global, Fully Remote
Schedule: ~15 hours/week, flexible
We're seeking a Materials Science Expert to support an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. You'll solve, validate, and review materials-engineering tasks and create reproducible, programmatic solutions. No prior AI experience is required.
Key Responsibilities- Solve and validate computational materials science problems.
- Build material structures, compositions, and simulation inputs.
- Run and analyze atomistic, electronic, molecular-dynamics, continuum, or electrochemical simulations.
- Use Python to automate simulations, parameter sweeps, and data analysis.
- Analyze mechanical, thermal, electrical, chemical, and structural properties.
- Diagnose convergence, numerical, modeling, and physical-assumption issues.
- Compare results with experiments, literature, and expected physical trends.
- Review AI-generated solutions and develop reliable reference solutions.
- Materials Science & Engineering
- Computational Materials Modeling
- Materials Simulation & Analysis
- Python
- Scientific Computing
- Structure–Property Relationships
- Numerical Validation & Troubleshooting
- Technical Problem-Solving
Experience with tools such as LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or equivalent CLI/API-based software. Familiarity with NumPy, SciPy, pandas, Matplotlib, or Jupyter is beneficial.
Qualifications- MS/PhD in Materials Science, Metallurgy, or related field; or Mechanical/Chemical Engineering with strong materials specialization.
- Experience in computational materials modeling, simulation, characterization, or materials R&D.
- Strong Python and programmatic engineering-tool experience.
- Ability to explain modeling assumptions, validate results, and distinguish computational errors from physical behavior.
Nearby locations
Nearby Job Titles
Truck Driver Jobs Network Architect Jobs Applications Software Developer Jobs Nursing Assistant Jobs Radiologic Technologist JobsNearby Locations
San Jose, CA Jobs Santa Clara, CA Jobs Sunnyvale, CA Jobs Palo Alto, CA Jobs California JobsNearby Companies
Hiring Drivers Now Jobs Copilot Careers Jobs Apple Jobs Patriot Conceptions Jobs Care.com JobsNearby Categories
Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1297138080 Posted: 2026-11-02 Job Title: Material Science Expert